scholarly journals RIP-MD: a tool to study residue interaction networks in protein molecular dynamics

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5998 ◽  
Author(s):  
Sebastián Contreras-Riquelme ◽  
Jose-Antonio Garate ◽  
Tomas Perez-Acle ◽  
Alberto J.M. Martin

Protein structure is not static; residues undergo conformational rearrangements and, in doing so, create, stabilize or break non-covalent interactions. Molecular dynamics (MD) is a technique used to simulate these movements with atomic resolution. However, given the data-intensive nature of the technique, gathering relevant information from MD simulations is a complex and time consuming process requiring several computational tools to perform these analyses. Among different approaches, the study of residue interaction networks (RINs) has proven to facilitate the study of protein structures. In a RIN, nodes represent amino-acid residues and the connections between them depict non-covalent interactions. Here, we describe residue interaction networks in protein molecular dynamics (RIP-MD), a visual molecular dynamics (VMD) plugin to facilitate the study of RINs using trajectories obtained from MD simulations of proteins. Our software generates RINs from MD trajectory files. The non-covalent interactions defined by RIP-MD include H-bonds, salt bridges, VdWs, cation-π, π–π, Arginine–Arginine, and Coulomb interactions. In addition, RIP-MD also computes interactions based on distances between Cαs and disulfide bridges. The results of the analysis are shown in an user friendly interface. Moreover, the user can take advantage of the VMD visualization capacities, whereby through some effortless steps, it is possible to select and visualize interactions described for a single, several or all residues in a MD trajectory. Network and descriptive table files are also generated, allowing their further study in other specialized platforms. Our method was written in python in a parallelized fashion. This characteristic allows the analysis of large systems impossible to handle otherwise. RIP-MD is available at http://www.dlab.cl/ripmd.

Author(s):  
Sebastian Contreras-Riquelme ◽  
Jose-Antonio Garate ◽  
Tomas Perez-Acle ◽  
Alberto Martin

2018 ◽  
Author(s):  
Meng-Yin Li ◽  
Yi-Lun Ying ◽  
Xi-Xin Fu ◽  
Jie Yu ◽  
Shao-Chuang Liu ◽  
...  

Millions of years of evolution have produced membrane protein channels capable of efficiently moving ions across the cell membrane. The underlying fundamental mechanisms that facilitate these actions greatly contribute to the weak non-covalent interactions. However, uncovering these dynamic interactions and its synergic network effects still remains challenging in both experimental techniques and molecule dynamics (MD) simulations. Here, we present a rational strategy that combines MD simulations and frequency-energy spectroscopy to identify and quantify the role of non-covalent interactions in carrier transport through membrane protein channels, as encoded in traditional single channel recording or ionic current. We employed wild-type aerolysin transporting of methylcytosine and cytosine as a model to explore the dynamic ionic signatures with non-stationary and non-linear frequency analysis. Our data illuminate that methylcytosine experiences strong non-covalent interactions with the aerolysin nanopore at Region 1 around R220 than cytosine, which produces characteristic frequency-energy spectra. Furthermore, we experimentally validate the obtained hypothesis from frequency-energy spectra by designing single-site mutation of K238G which creates significantly enhanced non-covalent interactions for the recognition of methylcytosine. The frequency-energy spectrum of ions flowing inside membrane channels constitutes a single-molecule interaction spectrum, which bridges the gap between traditional ionic current recording and the MD simulations, facilitating the qualitative and quantitive description of the non-covalent interactions inside membrane channels.


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